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Agent-based modelling of interstellar contacts using rumour spread models

Published online by Cambridge University Press:  11 August 2020

Tevfik Uyar Open the ORCID record for Tevfik Uyar [Opens in a new window]  and
Mehmet Emin Özel
Tevfik Uyar*
Affiliation:
Istanbul Kültür University, Faculty of Economics and Administrative Sciences, İstanbul, Turkey
Mehmet Emin Özel
Affiliation:
Çukurova University, UZAYMER Space Research Center, Adana, Turkey
*
Author for correspondence: Tevfik Uyar, E-mail: [email protected]
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Abstract

Some stochastic model of rumours asserts that even an advanced communication network does not guarantee every agent hears certain news because they predict that rumour spreaders convert to stifflers when contacted with an informed agent. In this study, we adapted two rumour spread models to interstellar communication by developing an agent-based model (ABM) for exploring the issue more rigorously. We enhanced the spread models by adding two additional parameters called conversion probability and stop-criterion, which represent the eagerness and persistency of civilizations to establish new contacts. Results of the ABM under several settings suggest that limited SETI searches lead to undiscovered civilizations. Earth may be one of these undiscovered civilizations although an advanced communication network might already be set up. Hence, we speculate that rumour spread models can propose another solution to Fermi's Paradox.

Keywords

Agent-based modelFermi's Paradoxrumour models
Type
Research Article
Information
International Journal of Astrobiology , Volume 19 , Issue 6 , December 2020 , pp. 423 - 429
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Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Belen, S and Özel, ME (2012) Fermi açmazı için yeni bir çözüm önerisi (‘A new solution proposal for Fermi Paradox’, main text in Turkish), in: XVIII. Ulusal Astronomi ve Uzay Bilimleri Kongresi (18th National Astronomy and Space Sciences Congress). Malatya, Turkey, pp. 319–322.Google Scholar
Belen, S and Pearce, CEM (2004) Rumours with general initial conditions. ANZIAM J 45, 393–400.CrossRefGoogle Scholar
Belen, S, Kropat, E and Weber, GW (2011) On the classical Maki-Thompson rumour model in continuous time. Central European Journal of Operations Research 19, 1–17.CrossRefGoogle Scholar
Bjørk, R (2007) Exploring the Galaxy using space probes. International Journal of Astrobiology 6, 89–93.CrossRefGoogle Scholar
Ćirković, MM (2018) The Great Silence, Science and Philosophy of Fermi's Paradox. New York: Oxford University Press.Google Scholar
Daley, DJ and Gani, J (1999) Epidemic Modelling, Epidemic Modelling. Cambridge: Cambridge University Press.Google Scholar
Daley, DJ and Kendall, DG (1965) Stochastic rumours. IMA Journal of Applied Mathematics 1, 42–55.CrossRefGoogle Scholar
Forgan, DH (2009) A numerical testbed for hypotheses of extraterrestrial life and intelligence. International Journal of Astrobiology 8, 121–131.CrossRefGoogle Scholar
Forgan, DH (2019) Solving Fermi's Paradox. New York: Cambridge University Press.CrossRefGoogle Scholar
Forgan, DH and Rice, K (2010) Numerical testing of the Rare Earth Hypothesis using Monte Carlo realization techniques. International Journal of Astrobiology 9, 73–80.CrossRefGoogle Scholar
Galera, E, Galanti, GR and Kinouchi, O (2019) Invasion percolation solves Fermi Paradox but challenges SETI projects. International Journal of Astrobiology 18, 316–322.CrossRefGoogle Scholar
Hair, TW and Hedman, AD (2013) Spatial dispersion of interstellar civilizations: a probabilistic site percolation model in three dimensions. International Journal of Astrobiology 12, 45–52.CrossRefGoogle Scholar
Kuiper, TBH and Morris, M (1977) Searching for extraterrestrial civilizations. Science (80–.) 196, 616–621.CrossRefGoogle ScholarPubMed
Lerner, R, Levy, S and Wilensky, U (2012) Connected modeling: design and analysis of the modeling commons, in: Proceedings of the Chais Conference on Instructional Technologies Research 2010: Learning in the Technological Era. pp. 54–60.Google Scholar
Maki, DP and Thompson, M (1973) Mathematical Models and Applications: With Emphasis on the Social, Life, and Management Sciences. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Özel, ME (2016) Fermi's paradox and mathematical theory of rumours: a possible new solution? Publications of the Astronomical Society Bulgaria 5, 6–13.Google Scholar
Pearce, CEM (2000) The exact solution of the general stochastic rumour. Mathematical and Computer Modelling 31, 289–298.CrossRefGoogle Scholar
Pittel, B (1990) On a Daley-Kendall model of random rumours. Journal of Applied Probability 27, 14–27.CrossRefGoogle Scholar
Rapoport, A (1953) Spread of information through a population with socio-structural bias: I. Assumption of transitivity. Bulletin of Mathematical Biology 15, 523–533.Google Scholar
Rapoport, A and Rebhun, LI (1952) On the mathematical theory of rumor spread. Bulletin of Mathematical Biology 14, 375–383.Google Scholar
Sullivan, WT III and Baross, JA (eds) (2007) Planets and Life: The Emerging Science of Astrobiology. New York: Cambridge University Press.CrossRefGoogle Scholar
Vukotić, B and Ćirković, MM (2012) Astrobiological complexity with probabilistic cellular automata. Origins of Life and Evolution of Biospheres 42, 347–371.CrossRefGoogle ScholarPubMed
Watson, R (1987) On the size of a rumour. Stochastic Processes and their Applications 27, 141–149.CrossRefGoogle Scholar
Wilensky, U and Rand, W (2015) An Introduction to Agent-Based Modeling: Modeling Natural, Social and Engineered Complex Systems with NetLogo. Cambridge: MIT Press.Google Scholar